Data Analyst with 2+ years in Data Analysis & AI/ML Text Annotation
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
with 1 Year 8 Months of experience in data analysis and AI/ML text annotation, skilled in dataset reporting, data validation, and quality assurance. Proven ability to support model training through accurate labeled data while contributing to workflow optimization and reliable business outcomes.
Jaipur National University
Master of Business Administration
August 1, 2020 – June 30, 2022
Eligarf Technologies PVT LTD
Data Annotation Specialist
May 1, 2024 – January 1, 2026
Pune, Maharashtra, India
Alvariant
Data Analyst Internship
March 1, 2023 – September 1, 2023
Pune, Maharashtra, India
Insurance Risk & Claims Analysis
June 18, 2026 – Present
• Cleaned and structured raw policy and claims datasets using Advanced Excel and MySQL to ensure accurate analysis. • Performed trend analysis and segmentation to uncover risk patterns and claim drivers. • Designed interactive visual reports to track KPIs such as claim frequency, approval TAT, and loss ratios. • Supported underwriting and claims teams with data-backed insights for faster, better decisions. • Improved reporting efficiency by standardizing dashboards and data workflows.
Data Analyst
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including insurance risk and claims analysis, and experience in data annotation, indicates a broad interest in data applications. The role as a Data Annotation Specialist and Data Analyst Internship aligns with the target role of Data Analyst, showing a consistent career path. The mention of mentoring and collaboration suggests a team-oriented approach.
Soft Skills & Operational Fit
The candidate demonstrates multi-tasking, problem-solving, and quick adaptability. Experience in mentoring and collaboration suggests good teamwork and leadership potential. The focus on data integrity and workflow optimization aligns well with operational efficiency requirements.